Autonomous camera traps for insects provide a tool for long-term remote monitoring of insects. These systems bring together cameras, computer vision, and autonomous infrastructure such as solar panels, mini computers, and data telemetry to collect images of insects.
With increasing recognition of the importance of insects as the dominant component of almost all ecosystems, there are growing concerns that insect biodiversity has declined globally, with serious consequences for the ecosystem services on which we all depend.
Automated camera traps for insects offer one of the best practical and cost-effective solutions for more standardised monitoring of insects across the globe. However, to realise this we need interdisciplinary teams who can work together to develop the hardware systems, AI components, metadata standards, data analysis, and much more.
This WILDLABS group has been set up by people from around the world who have individually been tackling parts of this challenge and who believe we can do more by working together.
We hope you will become part of this group where we share our knowledge and expertise to advance this technology.
Check out Tom's Variety Hour talk for an introduction to this group.
Learn about Autonomous Camera Traps for Insects by checking out recordings of our webinar series:
- Hardware design of camera traps for moth monitoring
- Assessing the effectiveness of these autonomous systems in real-world settings, and comparing results with traditional monitoring methods
- Designing machine learning tools to process camera trap data automatically
- Developing automated camera systems for monitoring pollinators
- India-focused projects on insect monitoring
Meet the rest of the group and introduce yourself on our welcome thread - https://www.wildlabs.net/discussion/welcome-autonomous-camera-traps-insects-group
Group curators
- @tom_august
- | he/him
Computational ecologist with interests in computer vision, citizen science, open science, drones, acoustics, data viz, software engineering, public engagement
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June 2024
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November 2023
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Description | Activity | Replies | Groups | Updated |
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Indeed, I'll be there too! I like to meet new conservation friends with morning runs, so I will likely organize a couple of runs, maybe one right near the conference, and... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps, Remote Sensing & GIS | 1 year 1 month ago | |
Hi @ShwetaMukundan,this could be interesting for you:https://www.science.org/doi/10.1126/scirobotics.abb0839https://www.youtube.com/watch?v=VwiHf2T9bLUhttps://edition.cnn.com/2020... |
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Autonomous Camera Traps for Insects, Sensors | 1 year 1 month ago | |
Thank you so much for your reply! I'll look in to this now :) |
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Acoustics, Autonomous Camera Traps for Insects, Camera Traps, Data management and processing tools, Drones, Remote Sensing & GIS, Software and Mobile Apps | 1 year 1 month ago | |
Our project in very short is, setting up a sensor network for monitoring airborne biomass, mainly insects, birds and bats in near realtime, and to develop a forecast model to be... |
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Autonomous Camera Traps for Insects, Biologging, Remote Sensing & GIS, Sensors | 1 year 2 months ago | |
This video is so great - I don't know what I was imagining that you were building, but this is so much bigger and more involved than whatever I was vaguely thinking. Really cool... |
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Autonomous Camera Traps for Insects | 1 year 3 months ago | |
Hey Tom,Since the output is dependent on a couple of factors such as the solar irradiance of the place, shading from the canopy, the type of solar panels (mono, poly or amorphous... |
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Autonomous Camera Traps for Insects, Build Your Own Data Logger Community, Camera Traps, Conservation Tech Training and Education, Sensors | 1 year 3 months ago | |
Awesome! it would be great to hear how you get on, maybe you can share your results here when you have them. Is the camera only for the Pi? That could be a problem for scaling as... |
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Autonomous Camera Traps for Insects, Sensors | 1 year 5 months ago | |
Hi Julien, we are working with the Luxonis OAK-1 which can run lightweight detection models (e.g. YOLOv5n/s) directly on-device. However you will still need a host, for... |
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Autonomous Camera Traps for Insects | 1 year 6 months ago | |
My most prized camera trap image - a hummingbird caught on camera! |
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Autonomous Camera Traps for Insects, Camera Traps | 1 year 7 months ago | |
Might be good to add this to the 'Automated Camera Traps for Insects' group |
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Camera Traps, Autonomous Camera Traps for Insects | 1 year 7 months ago | |
Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 1 year 9 months ago |
Apply Now: AI for Conservation Office Hours
18 January 2023 5:15pm
PhD position (m/f/d) in Insect Ecology and Conservation
9 January 2023 12:53pm
Cameras - pros and cons
21 September 2022 2:04pm
7 December 2022 1:03am
Hello,
I'm working on a light weight light trap based on Bjerge et al 2021, however I opted to use an ArduCam 64mp (9152 x 6944 resolution). Designed for the pi specifically and at $60 it checks many of your criteria. I haven't put everything together yet so I can't speak for white balance and power usage, but the autofocus appears to work well from initial tests, and it is tiny.
Cheers,
Hubert
8 December 2022 4:06pm
Awesome! it would be great to hear how you get on, maybe you can share your results here when you have them. Is the camera only for the Pi? That could be a problem for scaling as Pis are quite hard to come by at the moment.
PhD - Sensory ecology of vespine wasps
8 December 2022 12:47pm
Easy-RIDER project Workshop IV: Pollinator monitoring recording
17 November 2022 2:39pm
In case you missed our webinar on Pollinator monitoring, here is the recording.
We had presentations from three teams who will be presenting their work in designing automated monitoring tools for flower-visiting insects, different ways for creating datasets for training machine learning algorithms for insect identification and how these new technologies can be integrated in traditional monitoring schemes. The talks were followed with a discussion session.
Implementation of video surveillance to quantify the predation rate
25 October 2022 4:26pm
3 November 2022 10:16am
RaspberryPi-maggedon!
We are having this problem too and it might be worthy of its own thread! The lack of RaspberryPis is a big problem and we are currently looking into alternatives. We haven't found one yet, but if we do I will let you know. @Max_Sitt might have some suggested alternatives for his system?
4 November 2022 10:54am
Hi Julien,
we are working with the Luxonis OAK-1 which can run lightweight detection models (e.g. YOLOv5n/s) directly on-device. However you will still need a host, for outdoor deployment Raspberry Pi (e.g. Zero 2 W) is perfect. But for testing you could also use another Linux-based system as host device or just connect it to e.g. your notebook. You can find more info in the Luxonis Docs.
Regarding the Raspberry Pi availability, this blog post from Jeff Geerling probably sums up the current situation pretty well. I hope in Q1 2023 the situation will get better, but at the moment nobody really knows for sure.
Workshop IV: Pollinator monitoring
21 October 2022 12:27pm
3 November 2022 8:18pm
4 November 2022 9:10am
New conservation tech articles from Mongabay
20 October 2022 7:45pm
Most interesting images / sightings 'caught on camera'
12 August 2022 2:50pm
26 August 2022 12:07pm
No - the trap was in their path and they just walked through it. I've now moved it to a place they can't go. The biggest threat to the moths is from pied currawongs. I schedule the trap so it shuts off at least two before sunrise to try to avoid them feasting on the larger insects.
29 August 2022 6:18pm
At first I was finding wings below the screen in the morning when I put our units out. So I put a game camera on the units to see what was feeding and when. I found three bird species, likely 3 individuals, quickly found it to be a good bird feeder- Song Sparrow (most frequent), House Wren, and this Tufted Titmouse. I changed my units to turn off about 1.5 hours before dawn and that worked! Nearly all the moths left the scene before the birds came to visit.
26 September 2022 10:43pm
My most prized camera trap image - a hummingbird caught on camera!
Counting insect density automatically with Intel RealSense D455?
31 August 2022 3:54pm
23 September 2022 12:06pm
Might be good to add this to the 'Automated Camera Traps for Insects' group
Emerging technologies revolutionise insect ecology and monitoring
16 September 2022 10:11am
Identify animal from Image
2 August 2022 1:37am
2 August 2022 2:54am
Hi Jitendra.
If they are still images, many people are using Megadetector to analyze their images. I'm not sure how it will do in species classification, but it can tell you if there are images of interest in the shots. Others here can probably give you more detailed instructions on how to use it to batch process camera trap images.
2 August 2022 10:24am
Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a solution
Workshop III: Designing machine learning tools to process camera trap data automatically
1 August 2022 10:35am
Workshop II: Assessing automated insect monitoring
1 August 2022 10:23am
Workshop I: Automated moth monitoring deployments
1 August 2022 10:12am
23 November 2022 2:58pm
Hi Liz, unfortunately you will still need a Raspberry Pi as host for the OAK-1 camera to reproduce our hardware setup. It's also possible to use another Linux-based system (e.g. Raspberry Pi alternatives), but I didn't test this myself and the setup process will be different to our documentation (and probably not so straightforward). I'm planning to publish the documentation website in the next weeks, but I can already send you detailed information about putting together the hardware if you are still interested.